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Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur

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2013 - 201622
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Subject: Genetics and Plant Breeding × End date: 2016 × Start date: 2012 ×
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Now showing 1 - 9 of 22
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    ThesisItemOpen Access
    Genetic analysis of F1 crosses of bread wheat raised under different environments
    (JNKVV, Jabalpur, 2016) Patel, Devidas; Moitra, P.K.
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    ThesisItemOpen Access
    Gentic analysis of crosses of bread wheat raised under different environments
    (jnkvv, jabalpur, 2016) Patel, Davidash; Moitra, DR.P.K
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    ThesisItemOpen Access
    Study of inducede variability in m2 generation of aromatic short grain rice
    (jnkvv, jabalpur, 2016) Sharma, Chetan; Perraju, P.
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    ThesisItemOpen Access
    Genetic Analysis for Grain Yield and Its Components in Hulled Bareley (Hordeum Vulgare L.)
    (jnkvv, jabalpur, 2013) Singh, Durga; Singh, Ashok Kumar
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    ThesisItemOpen Access
    Characterization of Elite Lines of Wheat Collected from different parts of Madhya Pradesh
    (JNKVV, Jabalpur, 2014) Dixit, Madhur; Shukla, R. S.
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    ThesisItemOpen Access
    Genetic Analysis of Rice (Oryza sativa L.) Germplasm
    (JNKVV, 2013) Pal, Namita; Koutu, G.K.
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    ThesisItemOpen Access
    Verification of Soybean Varieties by SSR Markers
    (JNKVV, 2013) Bisen, Aanchal; Khare, D.
    ABSTRACT Soybean (Glycine max) is an important oilseed crop all over the world. The narrow genetic base of soybean makes variety characterization for registration and plant variety protection based on morphological descriptors difficult. Correct characterization of varieties could be achieved through distinguishable, uniform and stable expression of molecular markers. Information on genetic diversity and relationship among breeding materials is essential to a plant breeder for an efficient crop improvement. Information on genetic marker for parental selection could have a favorable impact on breeding efficiency and it may contribute to achieve the goal genetic improvement in soybean in short period of time. The accurate, fast, reliable, and cost-effective methods for identification of plant varieties and genetic purity of seed are essential in plant research, seed production, seed certification and in implementation of Protection of Plant Variety and Farmers Right Act. Every variety has a unique DNA fingerprint because of its genetic makeup and variations in DNA sequences. It has been extensively exploited as genetic marker for genome mapping in last four decades. A total of 38 genotypes of soybean under active seed multiplication chain including all the varieties developed and released by JNKVV, Jabalpur were characterized with the help of 50 SSR markers. The modified CTAB buffer method(without liquid nitrogen) of genom¬ic DNA extraction from soybean leaf tissues yielded quality DNA as yield by CTAB method involving liquid nitrogen. Out of 50 SSR primers 23 were found amplified and scorable. The SSR loci produced 51 alleles with an average of 2.2174 alleles per locus and a mean genetic diversity of 0.2339. The polymorphic information content (PIC) among genotypes varied from 0.5263 (Satt431) to 0.0499 (Satt243 and Satt337) with an average of 0.1998. Pairwise coefficients of genetic similarity between all genotypes ranged from 0.56 (JS2 and NRC2, JS72-280 and PS1241) to 0.97 (Pratap Soya 2 and PS1042) with an average of 0.761. Out of all the 23 amplified markers, 16 markers were polymorphic while remaining 7 monomorphic (Satt183, Satt229, Satt269, Satt294, Satt326, Satt399 and Sct_187). Eight of the 23 SSR markers distributed on four linkage groups (I, J, K and L) were able to amplify ten unique alleles of 12 varieties viz., Bragg, Harasoya, JS20-34, JS72-280, JS75-46, JS76-205, JS90-41, JS93-05, JS97-52, MACS450, NRC2 and PS 1241.
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    ThesisItemOpen Access
    Genetic studies for yield and its attributing traits in exotic lines of lentil
    (JNKVV, 2014) Kureshee, Shamma parvin; Pandey, Suneeta
    ABSTRACT Present investigation entitled “Genetic Studies for Yield and its Attributing Traits in Exotic Lines of Lentil” was aimed at identification of physiological and morphological traits influencing seed yield. The experimental material was consisted of 71 genotypes grown in randomized complete block design in the Seed Breeding Farm, Department of Plant Breeding and Genetics, College of Agriculture, Jabalpur (M.P) under Lentil Improvement Project during Rabi 2013-14. Observation were recorded on 13 different yield contributing characters such as days to 50% flowering, days to pod initiation, days to maturity, plant height, number of primary branches per plant, number of secondary branches per plant, total number of pods per plant, number of effective pods per plant, number of seeds per pod, 100 seed weight, biological yield per plant, harvest index and seed yield per plant. For morphological characterization of genotypes, data were recorded on traits viz., leaflet size, foliage color, growth habit, leaf pubescence, stem colour, tendril formation and flower color, and seed traits viz., seed colour, seed surface, cotyledon colour and seed size. High genotypic and phenotypic coefficient of variation, heritability and genetic advance were observed for characters such as Plant height, number of primary branches per plant, number of secondary branches per plant, total number of pods per plant, number of effective pods per plant, seeds per pod, 100 seed weight, biological yield per plant, harvest index and seed yield per plant, indicating contributions of additive genetic variance. Therefore, selection for such traits may be rewarding. Seed yield per plant shared positive significant association with harvest index, number of effective pods per plant, total number of pods per plant and biological yield per plant. Hence for genetic improvement of yield, these characters should be given prime importance. Path analysis revealed that harvest index and biological yield per plant, exerted maximum positive direct effect on seed yield per plant. Hence, for enhancement of yield these two characters should be given due importance. Based on the studies of correlation and path analysis, characters days to 50% flowering, total number of pods per plant, biological yield per plant and harvest index(%) can be considered for formulating high yielding plant ideotype in lentil. Tocher’s method resulted in formation of twenty clusters. Clustering of genotypes was not associated with the geographical distribution and mainly grouped due to their morphological differences. The percentage contribution towards genetic divergence by 100 seed weight was maximum while, days to 50 % flowering and total number of pods per plant showed moderate contribution to genetic divergence. Magnitude of divergence was low for days to maturity, days to pod initiation, plant height, number of primary branches per plant, number of secondary branches per plant, number of effective pods per plant, number of seeds per pod, biological yield per plant, harvest index and seed yield per plant. On the basis of D2 values maximum genotypes were present in cluster I, followed by cluster II and cluster XII whereas, cluster III, cluster IV, cluster V, cluster VI, cluster VII, cluster VIII, cluster IX, cluster X, cluster XI, cluster XIII, cluster XIV, cluster XV, cluster XVI, cluster XVII, cluster XVIII, cluster XIX and cluster XX had only one genotype in each. Maximum inter cluster distance i.e., 1509 was reported between cluster II (X2011S 189, X2011S 133, X2011S 87, X2011S 154, X2011S 111, X2011S 172) and XVIII (Flip 2010-96L). The hybridization between individuals belonging to these clusters may leads to the formation of superior segregants/ transgressive segregants. On the basis of cluster mean values, cluster XIII had highest mean values for days to 50% flowering, cluster VII for days to maturity and seed yield per plant, cluster XVIII for plant height, cluster II for number of primary branches per plant and number of secondary branches per plant, cluster XV for total number of pods per plant, cluster XVII for number of effective pods per plant, cluster IX for number of seeds per pod, cluster XII for 100 seed weight, cluster III for biological yield per plant and cluster XX for harvest index. On the basis of principal component analysis, only seven principal components (PCs) exhibited more than 0.5 eigen value, and showed about 92.72% total variability. The PC1 showed 36.76%, while, PC2, PC3, PC4, PC5, PC6 and PC7 exhibited 18.27%, 10.96%, 7.48% , 6.75%, 6.49% and 6.02% variability, respectively among the genotypes for the traits under study. Rotated component matrix revealed that the PC1 accounted for the highest variability (36.76%) and mostly related to physiological and yield contributing traits like days to 50% flowering, days to pod initiation, days to maturity, plant height, number of primary branches per plant and number of secondary branches per plant. PC2 was dominated by yield attributing traits viz., total number of pods per plant, number of effective pods per plant and biological yield per plant. An intensive selection procedures can be designed to bring about rapid improvement of dependent traits i.e. yield by selecting lines from PC2. The PC3 was dominated by harvest index and seed yield per plant. While, PC4 was related to 100 seed weight. On the basis of overall analysis promising genotypes identified are as Flip 90-25 L, Flip 2011-43 L, Flip 2010-106 L, Flip 84-51 L, Flip 89-71 L, Flip 2011-43 L, Flip 90-25 L and Idleb 2.
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    ThesisItemOpen Access